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Senior Analytics Engineer

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Intercom

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

192400.00 - 223600.00 USD / Year

Job Description:

The Analytics Engineering team provides all parts of Intercom’s business with the right set of accurate and up-to-date data tables that form the basis of all of our most important operational and strategic data-driven decisions. The team uses their deep knowledge of how GTM teams work to anticipate their data needs. They use their deep technical expertise to design the right data models and reliably turn these models into high-quality core data assets in our data warehouse. The team are experts at driving data model efficiencies and solving data quality issues at their root cause. This team is the glue between all of our Analyst teams and our Data Infrastructure teams. They speak everyone's language and make everything faster.

Job Responsibility:

  • Data Platform Development: Design, build, and manage scalable data pipelines and ELT processes to support a robust, analytics-ready data platform.
  • Cross-functional Collaboration: Partner with engineering, analytics, and business teams to understand data needs and ensure accurate, insightful data solutions.
  • Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
  • Advanced Analytics & Insights: Conducted in-depth data analysis and built custom models to support strategic business decisions and performance measurement.
  • Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
  • Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
  • Impact Measurement: Developed a strategy and technical pipeline for evaluating research output impact using citation metadata.

Requirements:

  • You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
  • You’re familiar with the modern data stack. DBT and Snowflake experience are a big plus.
  • A growth mindset and eagerness to learn.
  • You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
  • You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to have:

  • Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
  • Worked in Tableau, Looker, or similar visualization/business intelligence platform
  • Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
  • Familiarity with Python
What we offer:
  • Competitive salary and meaningful equity
  • Comprehensive medical, dental, and vision coverage
  • Regular compensation reviews - great work is rewarded!
  • Flexible paid time off policy
  • Paid Parental Leave Program
  • 401k plan & match
  • In-office bicycle storage
  • Fun events for Intercomrades, friends, and family!

Additional Information:

Job Posted:
December 26, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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